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dc.date.accessioned | 2008-05-23T18:44:37Z | |
dc.date.available | 2008-05-23T03:00:00Z | |
dc.date.issued | 2005-12 | |
dc.identifier.uri | http://sedici.unlp.edu.ar/handle/10915/9590 | |
dc.description.abstract | In this paper a thermodynamic approach is presented to the problem of convergence of evolutionary algorithms. The case of the Simulated Annealing algorithm for optimisation is considered as a simple evolution strategy with a control parameter allowing balance between the probability of obtaining an optimal or near-optimal solution and the time that the algorithm will take to reach equilibrium. This capacity is analysed and a theoretical frame is presented, stating a general condition to be fulfilled by an evolutionary algorithm in order to ensure its convergence to a global maximum of the fitness function. | en |
dc.format.extent | 178-182 | es |
dc.language | en | es |
dc.subject | evolutionary computation | es |
dc.subject | simulated annealing | es |
dc.subject | thermodynamics of equilibrium | es |
dc.subject | detailed balance | es |
dc.subject | ergodicity | es |
dc.title | Evolutionary computation with simulated annealing: conditions for optimal equilibrium distribution | en |
dc.type | Articulo | es |
sedici.identifier.uri | http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Dec05-3.pdf | es |
sedici.identifier.issn | 1666-6038 | es |
sedici.creator.person | Segura, Enrique Carlos | es |
sedici.subject.materias | Ciencias Informáticas | es |
sedici.description.fulltext | true | es |
mods.originInfo.place | Facultad de Informática | es |
sedici.subtype | Articulo | es |
sedici.rights.license | Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) | |
sedici.rights.uri | http://creativecommons.org/licenses/by-nc/3.0/ | |
sedici.description.peerReview | peer-review | es |
sedici2003.identifier | ARG-UNLP-ART-0000000620 | es |
sedici.relation.journalTitle | Journal of Computer Science & Technology | es |
sedici.relation.journalVolumeAndIssue | vol. 5, no. 3 | es |